Introduction

Attention mechanisms are a groundbreaking development in the field of machine learning, revolutionizing the way sequences are processed.
In this informative video, we will delve into the inner workings of these mechanisms, exploring two architectures - recurrent neural networks (RNNs) and transformers. By providing a comprehensive overview of these architectures, we will demonstrate their applications to two domains of machine learning: natural language processing and computer vision.

The Video



Boris ALBAR

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